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Amazon Exam DOP-C02 Topic 4 Question 53 Discussion

Actual exam question for Amazon's DOP-C02 exam
Question #: 53
Topic #: 4
[All DOP-C02 Questions]

A DevOps engineer is researching the least expensive way to implement an image batch processing cluster on AWS. The application cannot run in Docker containers and must run on Amazon EC2. The batch job stores checkpoint data on an NFS volume and can tolerate interruptions. Configuring the cluster software from a generic EC2 Linux image takes 30 minutes.

What is the MOST cost-effective solution?

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Suggested Answer: D

Contribute your Thoughts:

Pearly
2 hours ago
I think using Amazon EFS makes sense for checkpoint data, but I’m a bit confused about whether to go with EC2 Fleet or Auto Scaling.
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Laquita
6 days ago
I remember something about using Spot Instances being cheaper, but I'm not sure if it's the best option here since the job can tolerate interruptions.
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Audra
11 days ago
The use of Spot Instances seems promising for cost savings, but I'll need to consider the potential for interruptions and how that might impact the batch job.
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Malcolm
17 days ago
I'm a bit confused by the mention of GlusterFS and EC2 Fleet. I'll need to research those a bit more to understand how they might fit into a cost-effective solution.
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Laquanda
22 days ago
Okay, I think the key here is to find the most cost-effective way to handle the checkpoint data and provision the EC2 instances. Let me weigh the pros and cons of each approach.
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Eura
28 days ago
Hmm, the requirement to use EC2 instances instead of Docker containers is interesting. I'll need to think through the implications of that.
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Domonique
1 month ago
This looks like a tricky question. I'll need to carefully consider the cost-effectiveness of each option and the trade-offs involved.
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Roxane
2 months ago
I think the most cost-effective solution is option C.
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Jettie
2 months ago
I agree with Vonda. Spot Instances are a great way to save on costs, and the user data script should make it easy to configure the cluster.
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Vonda
3 months ago
Option C looks like the best solution here. Using Spot Instances with EC2 Fleet and user data to configure the cluster on startup seems like the most cost-effective approach.
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